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Conversational AILive

The conversational data collection platform

Replace the form with a conversation.

Say what you need to collect. Gnosari runs the conversation, adapts to every answer and hands you a typed record. Enquiries, intake, claims, feedback: anywhere you ask a person something.

Conversational AILive

At a glance

The conversational data collection platform

Status
Live. Free tier, no card.
Built for
Any team that collects information from people: sales, operations, HR, support, intake and claims
conversational data collectionform replacementtyped recordsdocument extractionmcp server

Why it matters

Positioning pillars

  • Any Question Moment

    Anywhere your business asks a person something.

    Enquiries, quotes, eligibility checks, onboarding, applications, claims, complaints, feedback and recurring check-ins. A form is a step in a process, and wherever that step sits, a Gnosari can take it.

  • Typed Records, Not Transcripts

    You get the record, not a chat log to read.

    Define a field schema with seven types and plain-English guidance per field. Every returned value is validated against its type and keeps the sentence it came from. A value the person never said is never stored.

  • Documents In the Conversation

    They photograph it. The values land typed.

    When the answer is a document, the person uploads it inside the conversation: a passport, a licence, an insurance schedule, a payslip, a photo of the damage. Its values arrive as typed fields, with nobody transcribing anything.

  • Reaches Anyone

    Not only website visitors.

    A website widget in four layouts, a page of its own, a link you send, a QR code or a printed flyer. Send the link to a client, a candidate or a supplier. They need no account and no app.

  • Records Where You Work

    One inbox, CSV, or signed webhooks.

    Every conversation arrives summarised with its intent and next step. Export CSV, or route records on signed webhooks into Zapier, Make, n8n or your own endpoint. Funnel analytics and per-conversation cost sit on top, and AI agents can operate Gnosari over MCP.

The mechanics

How it works

  1. Step 1

    Say what you need to collect

    Name the fields, pick their types and add guidance in plain English. Add your documents, website or FAQs as knowledge. No conversation flows to design, no decision trees.

  2. Step 2

    Put it where people are

    Embed the widget with one line of HTML, give it a page of its own, send a link, print a QR code or a flyer. The same Gnosari and the same record, wherever someone meets it.

  3. Step 3

    The conversation does the collecting

    Gnosari asks, adapts to each answer, answers questions from your knowledge, and reads documents the person uploads. A tone dial sets how hard it pushes to fill every field.

  4. Step 4

    Receive typed records

    Each conversation becomes a validated record with a summary. Read it in the inbox, export CSV, or receive it on a signed webhook the moment it is collected.

Gnosari in production

Gnosari runs in production for intake, enquiries and feedback, including on this site: the chat behind every "Let's talk" button is a Gnosari.

The contrast

How we compare

  • Them

    A form with fields and drop-downs

    Us

    A conversation that adapts to each answer and still returns typed fields.

  • Them

    A chatbot that leaves you a transcript

    Us

    Answers the question and leaves you a typed record.

  • Them

    Flow builders: design every branch by hand

    Us

    Describe the data. The AI handles the branching.

  • Them

    Someone retypes the document

    Us

    The person uploads it in the conversation and the values land typed.

  • Them

    Only reaches website visitors

    Us

    A link, a QR code or a flyer reaches anyone, with no account or app.

Questions, answered

Frequently asked questions

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